init(x_stride:y_stride:x_padding:y_padding:k_width:k_height:in_channels:out_channels:weights:bias:activation:)
Returns a new convolution parameters structure.
Declaration
init(x_stride: Int, y_stride: Int, x_padding: Int, y_padding: Int, k_width: Int, k_height: Int, in_channels: Int, out_channels: Int, weights: BNNSLayerData, bias: BNNSLayerData, activation: BNNSActivation)Parameters
- x_stride:
The X increment in the input image.
- y_stride:
The Y increment in the input image.
- x_padding:
The X padding.
- y_padding:
The Y padding.
- k_width:
The width of the convolution kernel.
- k_height:
The height of the convolution kernel.
- in_channels:
The number of input channels.
- out_channels:
The number of output channels.
- weights:
Convolution weights.
- bias:
Layer bias, one for each output channel.
- activation:
The layer activation function